SOFT COMPUTING AND APPLICATIONS
An intelligent system can be broadly defined as a system that is able to accomplish feats requiring a substantial amount of intelligence when normally carried out by hu- mans. Examples include medical diagnosis, processing of natural languages, interpretation of raw data for non- obvious information and prediction of trends, and su- pervision of large-scale processes. These feats need not necessarily be assessed in terms of technical specifications or complexity, but may be driven from the perspectives of cost, robustness, and amenability for mass application. Apart from sensory and final action elements, the core of an intelligent system is the control system, which is respon- sible for inculcating the intelligence into artificial forms to deliver the necessary actions and objectives. Intelligent control systems have been an active research area since the first automatic control system was conceived more than two thousand years ago. The advances in control theory coupled with the developments in computing and communication systems have resulted in smarter, smaller, and faster control systems, facilitating the development of intelligent systems and enabling a whole spectrum of new engineering applications – in manufacturing, precision en- gineering, food and pharmaceutical, biomedical, and many more. Under the realm of intelligent systems and control, new findings and inventions continue to rein in benefits in one form or another.
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